Parameter estimation and classification of multiscale remote sensing data

In this article we describe a Bayesian model for integration of multiscale image data. The approach is based on the concept of a reference resolution. Data at this and lower resolutions are connected to the reference resolution through a fully specified statistical model. Algorithms for parameter estimation and classification based on the multiscale model are proposed, and results and comparisons with singlescale classification are presented.